Adaptive human pilot model for uncertain systems
| Autor: | Seyed Shahabaldin Tohidi, Yildiray Yildiz |
|---|---|
| Přispěvatelé: | Tohidi, Shahab, Yıldız, Yıldıray |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Adaptive control Stability criteria Model reference adaptive control systems Computer science 020208 electrical & electronic engineering Bandwidth (signal processing) Crossover Robust control Uncertain systems 02 engineering and technology Control system synthesis 020901 industrial engineering & automation Closed loop systems Control theory 0202 electrical engineering electronic engineering information engineering Pilot model Delays Closed loop Lyapunov methods |
| Zdroj: | 18th European Control Conference (ECC), 2019 ECC |
| Popis: | Date of Conference: 25-28 June 2019 Conference name: 18th European Control Conference (ECC), 2019 Inspired by humans' ability to adapt to changing environments, this paper proposes an adaptive human model that mimics the crossover model despite input bandwidth deviations and plant uncertainties. The proposed human pilot model structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov-Krasovskii stability criteria applied to the overall closed loop system including the human pilot and the plant. The proposed model can be employed for human-in-the-Ioop stability and performance analyses with different controllers and plant types. A numerical example is used to demonstrate the effectiveness of the presented method. TÜBİTAK, BAGEP |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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